Smart Energy and the Built Environment

Code

ABEE2047

School

Department of Architecture and Built Environment

Level

2

Credits

20

Semesters

Spring China

Summary

This module will introduce students to the components of a smart energy system. Examples of these systems will be introduced operating at the level of an individual building and larger-scale communities. The importance of the built environment in moving towards net-zero will be emphasised and the role of smart energy systems such as renewable energy generation, storage, electric vehicles, and demand-side management highlighted. Students must pass coursework2(accounted for 40% of the whole module assessment) and coursework3(accounted for 40% of the whole module assessment), otherwise students will fail this module even if the overall mark passes. 

Target Students

Year 2 BEng Architectural Environment Engineering students

Classes

• Two 2-hour lectures each week for 11 weeks
• One 2-hour laboratory each week for 2 weeks
• One 3-hour computing each week for 4 weeks

Assessment

• 20% Coursework1: 1000-word Individual laboratory reports.
• 40% Coursework2: A 8000-word group report on the design and simulation/prototype of a smart energy system.
• 40% Coursework3: A 2000-word equivalent individual calculation and programming assignment related to smart energy system

Assessed by end of spring semester

Educational Aims

Learning Outcomes

This module aims to enable students to:

•    Understand the impact of the built environment on global energy use. 
•    Understand the characteristics of smart energy and its role in helping deliver net-zero carbon objectives.
•    Understand the role of data science in smart energy systems.
•    Evaluate the performance of smart energy components through practical investigation.
Design and develop a smart energy system utilising appropriate hardware and software tools.
 

This module contributes to the delivery of the following Engineering Council outcomes:

M1    Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering
M3    Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed
M4    Select and critically evaluate technical literature and other sources of information to solve complex problems
M6    Apply an integrated or systems approach to the solution of complex problems
M7    Evaluate the environmental and societal impact of solutions to complex problems (to include the entire life-cycle of a product or process) and minimise adverse impacts
M8    Identify and analyse ethical concerns and make reasoned ethical choices informed by professional codes of conduct
M10    Adopt a holistic and proportionate approach to the mitigation of security risks
M12    Use practical laboratory and workshop skills to investigate complex problems
M13    Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations
M16    Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance

Conveners

• Dr Zhiang Zhang